Evidence map›Paper›PMID 38994076›Full record

ArticleHeliyon2024

Multi-trait stability index for identification of stable green gram (

K Aruna, Dushyantha Kumar B M, Shankarappa Sridhara, Sowjanya B A, Naveen Kumar K L, Ihab Mohamed Moussa, Hosam O Elansary, Tiago Olivoto

Erratum issuedAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

K ArunaDepartment of Genetics and Plant Breeding, Keladi Shivappa Nayaka University of Agricultural, Sciences, Shivamogga, 577204, Karnataka, India.
Dushyantha Kumar B MDepartment of Genetics and Plant Breeding, Keladi Shivappa Nayaka University of Agricultural, Sciences, Shivamogga, 577204, Karnataka, India.
Shankarappa SridharaCenter for Climate Resilient Agriculture, Keladi Shivappa Nayaka University of Agricultural, Sciences, Shivamogga, 577204, Karnataka, India.
Sowjanya B ADepartment of Genetics and Plant Breeding, Keladi Shivappa Nayaka University of Agricultural, Sciences, Shivamogga, 577204, Karnataka, India.
Naveen Kumar K LDepartment of Genetics and Plant Breeding, Keladi Shivappa Nayaka University of Agricultural, Sciences, Shivamogga, 577204, Karnataka, India.
Ihab Mohamed MoussaDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Hosam O ElansaryPlant Production Department, College of Food and Agriculture, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Tiago OlivotoDepartamento de Fitotecnia (FIT), Centro de Ciências Agrárias (CCA), Universidade Federal de Santa, Catarina (UFSC), Florianópolis, SC, 88040-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-environment trials (MET) are crucial for selecting genotypes that are well-suited to different environmental conditions. Incorporating multiple traits in the analysis can provide more reliable recommendations for selecting genotypes with desirable traits, including resistance to the Mungbean Yellow Mosaic Virus (MYMV) and high yield potential. The use of a Multi-Trait Stability Index (MTSI) is a good approach for analyzing the stability of genotypes across multiple traits under MYMV stress. In the present investigation, the performance of thirteen green gram genotypes were evaluated for traits such as yield, plant height, number of branches per plant, and resistance to MYMV. The main objective of the study is to identify highly productive and stable mung bean genotypes resistant to MYMV. MTSI can be calculated by combining information on the performance of genotypes across multiple traits and environmental conditions to provide a single index that indicates the overall stability of genotypes across traits and environments. The results helped to identify two green gram genotypes (Yadadri and JNG-18) that were high-yielding with stable resistance to MYMV stress across multiple environmental conditions. This can provide useful information to breeders for the development of suitable genotypes against MYMV in the affected areas.

Indexed as

Green gramMGIDIMTSIMulti-environmentMulti-traitMYMVPer cent disease incidence

Identifiers

PMID38994076
PMCPMC11237947

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.